Image Annotation and Two Paths to Text Illustration. - Hervé Le Borgne; Etienne Gadeski; Ines Chami; Thi Quynh Nhi Tran; Youssef Tamaazousti; Alexandru-Lucian Gînsca; Adrian Popescu 001 (CLEF (Working Notes), 2016)

AMECON: Abstract Meta-Concept Features for Text-Illustration. - Ines Chami; Youssef Tamaazousti; Hervé Le Borgne (ICMR, 2017)

Referring Relationships. - Ranjay Krishna; Ines Chami; Michael S. Bernstein; Li Fei-Fei 001 (CVPR, 2018)

Hyperbolic Graph Convolutional Neural Networks. - Ines Chami; Zhitao Ying; Christopher Ré; Jure Leskovec (NeurIPS, 2019)

Low-Dimensional Hyperbolic Knowledge Graph Embeddings. - Ines Chami; Adva Wolf; Da-Cheng Juan; Frederic Sala; Sujith Ravi; Christopher Ré (ACL, 2020)

From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering. - Ines Chami; Albert Gu; Vaggos Chatziafratis; Christopher Ré (NeurIPS, 2020)

HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections. - Ines Chami; Albert Gu; Dat Nguyen; Christopher Ré (ICML, 2021)

Investigation on low frequency parameter of WTGS buried in homogeneous and stratified soil. - Ines Chami; Sofiane Chiheb; Abdelhak Djellad; Nacer Bouderres (SSD, 2022)

Optimization of grounding conductor in WPP. - Ines Chami; Sofiane Chiheb; Abdelhak Djellad; Nacer Bouderres (SSD, 2022)

Ask Me Anything: A simple strategy for prompting language models. - Simran Arora; Avanika Narayan; Mayee F. Chen; Laurel J. Orr; Neel Guha; Kush Bhatia; Ines Chami; Frederic Sala; Christopher Ré (CoRR, 2022)

Machine Learning on Graphs: A Model and Comprehensive Taxonomy. - Ines Chami; Sami Abu-El-Haija; Bryan Perozzi; Christopher Ré; Kevin Murphy 002 (J. Mach. Learn. Res., 2022)

Can Foundation Models Wrangle Your Data? - Avanika Narayan; Ines Chami; Laurel J. Orr; Christopher Ré (Proc. VLDB Endow., 2022)

Ask Me Anything: A simple strategy for prompting language models. - Simran Arora; Avanika Narayan; Mayee F. Chen; Laurel J. Orr; Neel Guha; Kush Bhatia; Ines Chami; Christopher Ré (ICLR, 2023)